We have generated genetically-engineered mice to suppress specific subset of neurons activated during learning, and found that the activity of the initial ensemble is preferentially dedicated to the same learning. Our results provide substantial insights into the machinery underlying how the brain allocates individual memories to discrete neuronal ensembles and how it ensures that repetitive learning strengthens memory by reactivating the same neuronal ensembles.
Research Area “Development and Function of Neural Networks”
Research Theme “Analysis and Manipulation of Neuronal Networks Encoding Specific Memories”
N. Matsuo. “Irreplaceability of Neuronal Ensembles after Memory Allocation”. Cell Reports, Published online 16 April 2015, doi: 10.1016/j.celrep.2015.03.042.
Naoki Matsuo, Ph.D.
Associate Professor, Graduate School of Medicine, Osaka University
Koji Matsuo, Tetsu Kawaguchi, and Raijo Yakuwa
Life Innovation Group, Department of Innovation Research, JST